Accenture on 20 February announced the launch of new services for analyzing Artificial Intelligence (AI) systems globally that are powered with a “Teach and Evaluation” methodology designed to help companies build, monitor and measure reliable AI systems within their own infrastructure or even at the Cloud.
Accenture Logo. Loic Venance/AFP
“As businesses adopt AI, it’s critical to find better ways to train and maintain these systems — safely and with quality — to prevent adverse impacts on business operation, brand recognition, compliance and humans,” Bhaskar Ghosh, Group Chief Executive, Accenture Technology Services, said in a statement.
Accenture’s “Teach and Test” methodology ensures that AI systems are producing the proper choices in two stages.
The “Educate” phase concentrates on the choice of data, models and algorithms which are utilized to train Machine Learning (ML).
During the “Test” stage, AI system outputs are in comparison to key performance indicators and assessed to discover whether the machine can describe the way the decision or result was determined by employing innovative techniques and Cloud-based tools to track the system.
“There is also a need for new capacities for evaluating learning and data models, choosing algorithms, and monitoring for prejudice and regulatory and ethical compliance,” added Kishore Durg, Senior Managing Director, Growth and Strategy, and International Testing Services Lead for Accenture.
He said that Accenture’s “Educate and Evaluation” methodology requires all of this into consideration to help companies develop and confirm AI systems with assurance.
Accenture used this methodology to train a conversational virtual broker for a financial services company’s website.
The broker was trained 80 percent faster than previously possible and achieved an 85 percent accuracy rate on customer testimonials.